See where LinkedIn campaigns actually lose prospects.

Useful reporting does not stop at sent volume. It should show where prospects drop out: search, import, invitation, acceptance, read, reply, follow-up, or meeting request.

What volume stats hide

A campaign can send a lot while losing prospects before replies.

Acceptances, reads, and follow-ups are not tied back to the source signal.

Teams do not know whether to fix targeting, message, timing, or follow-up.

The expected reporting

Step-by-step funnel: search, import, invitation, acceptance, read, reply, and follow-up.

Leak detection between signals, sequences, inbox, and CRM.

Recommended actions: clean the list, change the message, stop, follow up, or route to the right owner.

Measure the loss before optimizing

A low reply rate may come from a poor source, wrong ICP, ignored invitation, missing follow-up, or untreated objection. The funnel should separate those causes.

Connect each step to an action

Analytics become useful when they trigger a correction: profile exclusion, new draft, timing change, CRM alert, or sequence test.

Compare campaigns by source signal

Profile visitors, likes, comments, inbound leads, and existing connections should not be measured as one cold mass. Each signal deserves its own conversion rate.

A page capturing the BeReach track-what-works / advanced analytics gap by connecting sequence audits, pipeline leaks, webhooks, and Search Console.